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. Job Overview Join the University of Cincinnati's College of Engineering and Applied Science as a Computer & Information Analyst Lead, and become an integral part of our Digital Technology Services team
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) (https://ceas.uc.edu/academics/departments/computer-science.html) in the College of Engineering and Applied Science (CEAS) provides a number of core courses to undergraduate and graduate students
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-science.html) in the College of Engineering and Applied Science (CEAS) provides a number of core courses to undergraduate and graduate students, including those taken by all first-year computer science and
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or discipline. May require experience with specialized software programs. Additional Qualifications Considered Experience in bioinformatics is ideal. Physical Requirements/Work Environment Office
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malignant renal cancer, clear cell renal cell carcinoma (ccRCC). Research integrates state-of-the-art molecular biology using cell-based and animal models as well as system biology bioinformatics multiomics
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with ab initio methods. Proficiency in software such as VASP, Quantum ESPRESSO, Critic2 and Gibbs2. Experience in high-performance computing and parallel processing. Additional Qualifications Considered
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
focal point for education, research and team science involving biomedical data sciences and informatics. The department?s 12 full-time faculty are experts in biostatistics, bioinformatics, and clinical
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Research Asst/Assoc/Full Professor, Department of Biostatistics, Health Informatics and Data Science
full-time faculty are experts in biostatistics, bioinformatics, and clinical informatics, and are the home of the PhD program in Biomedical Informatics, and the PhD program in Biostatistics and Data
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. Support students through various educational processes (e.g., orientation, exploration, parallel planning, transfer, transition, and graduation). Provide support for students related to academic alert
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related to the upper human airway. The successful candidate will contribute to cutting-edge research projects involving computational models, medical image data processing, and developing idealized and